
Adamata develops and deploys AI-powered sorting systems designed for emerging markets, specifically focusing on improving waste management. Their core product, AdaSorter, offers enhanced productivity for waste workers, achieving over 90% recovery purity. The system is characterized by real-time AI processing (30-50 actions per second), affordable power usage (0.7-1 kW), and modular functions allowing for interchangeable mechanics and material detectors. The technology is currently in live beta for HDPE sorting and in development for PC-ABS-ePlastics, with plans for PE-PP-PET personal care packaging. Adamata aims for full-scale operations in the Greater Jakarta Area by Q1-Q2 2026, indicating a scalable business model focused on improving waste recovery efficiency and worker earnings.

Adamata develops and deploys AI-powered sorting systems designed for emerging markets, specifically focusing on improving waste management. Their core product, AdaSorter, offers enhanced productivity for waste workers, achieving over 90% recovery purity. The system is characterized by real-time AI processing (30-50 actions per second), affordable power usage (0.7-1 kW), and modular functions allowing for interchangeable mechanics and material detectors. The technology is currently in live beta for HDPE sorting and in development for PC-ABS-ePlastics, with plans for PE-PP-PET personal care packaging. Adamata aims for full-scale operations in the Greater Jakarta Area by Q1-Q2 2026, indicating a scalable business model focused on improving waste recovery efficiency and worker earnings.
Company Description
PT. Ada Mata Indonesia is a technology startup in the plastic recycling industry that transforms plastic waste into recycled pellets. We use AI and robotics to handle an end-to-end process in vast volumes.
Our Office: Ruko The Icon Business Park, BSD, Kab. Tangerang, Banten 15345
Warehouse: Jl. Raya Parung Panjang, Cirarab, Legok, Kab. Tangerang, Banten.
Role Description
We're seeking a Machine Learning Engineer to build and deploy computer vision solutions. You'll own the MLOps infrastructure, develop CV models from scratch, and drive experimentation through the full ML lifecycle. This role combines hands-on model development with production engineering - you'll write training code, design data pipelines, and ensure models run reliably at scale
Key Responsibilities
🔧 Maintain MLOps pipeline to stay relevant with current needs
🚀 Explore and implement recent research models in computer vision
🤝 Collaborate with other teams to understand their challenges
Qualifications
🎓 At least a bachelor's degree in computer science, mathematics, electrical engineering, or related fields
💻 Strong programming skills in Python and computer vision libraries
🛠️ Understanding machine learning and computer vision concepts and their lifecycle
🧠 Excellent problem-solving, attention to detail, and analytical skills
🌟 A desire to learn and apply new technologies